Clutch Factor & Player Dependency — Advanced Stats

🔥Clutch Factor

Close game win rate ÷ overall win rate. A CF above 1.0 means a player wins more often when it's tight. Below 1.0? They fold under pressure.

Close match = any game within 2 points at 11+ or went to a deciding game 3. Min 15 total matches, 5 close matches.

Jessica Mason

3.33x

Most clutch player in the dataset. Wins 83% of close games vs 25% overall.

Maggie Brascia

0.75x

Biggest drop-off: 60% overall but only 45% in tight matches.

Ava Ignatowich

1.50x

24% overall but 36% in close games — the pressure's real.

🏆 Most Clutch Players

#	Player	CF	Close Record	Overall Win%	Matches
1	Jessica Mason	3.33	5-1 (83%)	25.0%	20
2	Bao Duong	2.70	3-2 (60%)	22.2%	18
3	Paula Rives	2.62	8-5 (62%)	23.5%	34
4	Nicole Conard	2.38	9-5 (64%)	27.0%	37
5	Jade Rau	2.27	2-3 (40%)	17.6%	17
6	Ella Yeh	2.19	4-2 (67%)	30.4%	23
7	Audrey Adele Brown	2.12	8-9 (47%)	22.2%	45
8	Rachel Rettger	2.10	12-6 (67%)	31.7%	63
9	Stephen Madonia	1.97	12-12 (50%)	25.4%	59
10	Christine Trifunovic	1.95	5-10 (33%)	17.1%	41
11	Carlos Di Laura	1.91	6-5 (55%)	28.6%	35
12	Zoeya Khan	1.88	6-6 (50%)	26.7%	45
13	Komal Safdar	1.83	4-3 (57%)	31.2%	16
14	Luc Pham	1.81	4-2 (67%)	36.8%	19
15	Sarah Ansboury	1.76	8-6 (57%)	32.4%	37
16	Tanner Tomassi	1.71	6-5 (55%)	32.0%	25
17	Jordan Chrysostom	1.67	2-6 (25%)	15.0%	20
18	Edward Perez	1.66	18-16 (53%)	31.9%	72
19	Jonny Pickleball Andrews	1.66	9-9 (50%)	30.2%	53
20	Madalina Grigoriu	1.66	7-4 (64%)	38.5%	26

😬 Tight Match Struggles

#	Player	CF	Close Record	Overall Win%	Matches
1	Maggie Brascia	0.75	22-27 (45%)	59.5%	84
2	Jaume Martinez Vich	0.75	37-36 (51%)	67.4%	172
3	Allyce Jones	0.75	20-24 (46%)	60.9%	110
4	James Ignatowich	0.74	21-29 (42%)	56.4%	101
5	Rachel Rohrabacher	0.74	33-28 (54%)	73.5%	132
6	Layne Sleeth	0.72	16-29 (36%)	49.1%	110
7	Rob Cassidy	0.72	3-7 (30%)	41.7%	24
8	Michelle Murphy	0.71	4-9 (31%)	43.5%	23
9	Alex Walker	0.69	11-32 (26%)	36.8%	95
10	Trang Huynh-McClain	0.67	2-4 (33%)	50.0%	16
11	Vivian Glozman	0.66	6-6 (50%)	75.8%	33
12	Christine Maddox	0.63	2-4 (33%)	52.6%	19
13	Shelby Bates	0.63	2-6 (25%)	40.0%	20
14	Jamie Haas	0.61	3-6 (33%)	55.0%	20
15	Sam Querrey	0.59	3-14 (18%)	29.7%	37
16	Tama Shimabukuro	0.58	2-7 (22%)	38.1%	21
17	Phuc Huynh	0.54	2-4 (33%)	61.9%	21
18	Ella Boydston	0.39	1-6 (14%)	36.8%	19
19	Jackson Ayotte	0.00	0-7 (0%)	23.5%	17
20	Luana Stanciu	0.00	0-10 (0%)	6.1%	33

🤝Player Dependency Index

How much does a doubles player's success depend on who they're paired with? PDI measures win-rate variance across partners. Low PDI = carries anyone. High PDI = needs the right partner to thrive.

min 3 partners with 5+ matches each

Anna Leigh Waters

96% avg

PDI of just 0.019 across 3 partners and 182 matches. The ultimate carry.

Chuck Taylor

PDI: 0.357

Win rates swing from 0% to 100% depending on partner.

💪 Most Independent (Low PDI)

#	Player	PDI	Avg Win%	Partners	Matches
1	Mohaned Alhouni	0.019	51.1%	3	31
2	Anna Leigh Waters	0.019	96.1%	3	182
3	Christian Alshon	0.030	79.3%	7	168
4	Kate Fahey	0.031	68.9%	6	90
5	Tyson McGuffin	0.041	63.5%	6	66
6	Lacy Schneemann	0.048	66.4%	7	77
7	Hayden Patriquin	0.048	76.7%	9	153
8	Rachel Rohrabacher	0.051	71.3%	7	110
9	Riley Newman	0.051	66.3%	8	69
10	Jessie Irvine	0.053	66.3%	6	109
11	Lea Jansen	0.054	64.2%	7	74
12	Anna Bright	0.054	83.5%	8	166
13	Matt Wright	0.055	62.1%	4	76
14	Genie Bouchard	0.058	53.3%	3	17
15	John Lucian Goins	0.058	46.7%	3	23
16	Milan Rane	0.060	57.4%	4	49
17	Jade Kawamoto	0.064	73.4%	7	77
18	Callie Smith	0.065	64.8%	5	68
19	Genie Erokhina	0.071	47.9%	6	42
20	Jay Devilliers	0.072	67.8%	7	91

🎰 Most Partner-Dependent (High PDI)

#	Player	PDI	Avg Win%	Partners	Matches
1	Chuck Taylor	0.357	45.2%	5	34
2	Pesa Teoni	0.303	67.5%	3	26
3	Allison Phillips	0.260	62.2%	6	41
4	Olivia McMillan	0.250	25.0%	3	21
5	Brooke Buckner	0.241	61.3%	4	79
6	Brandon French	0.233	50.6%	3	42
7	Craig Johnson	0.229	28.4%	4	34
8	Eric Roddy	0.220	48.6%	4	33
9	Luke Wasson	0.214	32.4%	3	17
10	Grayson Goldin	0.212	42.4%	3	23
11	Tamaryn Emmrich	0.201	44.9%	3	43
12	Chao Yi Wang	0.200	70.7%	4	85
13	Wesley Burrows	0.196	37.4%	3	24
14	Allyce Jones	0.183	58.3%	7	72
15	Connor Garnett	0.182	68.1%	5	75
16	Jack Sock	0.182	62.7%	3	34
17	Blaine Hovenier	0.181	59.7%	8	53
18	Roscoe Bellamy	0.177	40.8%	4	28
19	Angie Walker	0.175	39.5%	5	62
20	CJ Klinger	0.172	74.5%	5	102

Data generated 2026-02-18 from 6,806 PPA matches. Close match = any game within 2 points at 11+ OR went to game 3.